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The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition

Trettenbrein (2016) has argued that the concept of the synapse as the locus of memory is outdated and has made six critiques of this concept. In this article, we examine these six critiques and suggest that the current theories of the neurobiology of memory and the empirical data indicate that synap...

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Autores principales: Langille, Jesse J., Brown, Richard E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212519/
https://www.ncbi.nlm.nih.gov/pubmed/30416432
http://dx.doi.org/10.3389/fnsys.2018.00052
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author Langille, Jesse J.
Brown, Richard E.
author_facet Langille, Jesse J.
Brown, Richard E.
author_sort Langille, Jesse J.
collection PubMed
description Trettenbrein (2016) has argued that the concept of the synapse as the locus of memory is outdated and has made six critiques of this concept. In this article, we examine these six critiques and suggest that the current theories of the neurobiology of memory and the empirical data indicate that synaptic activation is the first step in a chain of cellular and biochemical events that lead to memories formed in cell assemblies and neural networks that rely on synaptic modification for their formation. These neural networks and their modified synaptic connections can account for the cognitive basis of learning and memory and for memory deterioration in neurological disorders. We first discuss Hebb’s (1949) theory that synaptic change and the formation of cell assemblies and phase sequences can link neurophysiology to cognitive processes. We then examine each of Trettenbrein’s (2016) critiques of the synaptic theory in light of Hebb’s theories and recent empirical data. We examine the biochemical basis of memory formation and the necessity of synaptic modification to form the neural networks underlying learning and memory. We then examine the use of Hebb’s theories of synaptic change and cell assemblies for integrating neurophysiological and cognitive conceptions of learning and memory. We conclude with an examination of the applications of the Hebb synapse and cell assembly theories to the study of the neuroscience of learning and memory, the development of computational models of memory and the construction of “intelligent” robots. We conclude that the synaptic theory of memory has not met its demise, but is essential to our understanding of the neural basis of memory, which has two components: synaptic plasticity and intrinsic plasticity.
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spelling pubmed-62125192018-11-09 The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition Langille, Jesse J. Brown, Richard E. Front Syst Neurosci Neuroscience Trettenbrein (2016) has argued that the concept of the synapse as the locus of memory is outdated and has made six critiques of this concept. In this article, we examine these six critiques and suggest that the current theories of the neurobiology of memory and the empirical data indicate that synaptic activation is the first step in a chain of cellular and biochemical events that lead to memories formed in cell assemblies and neural networks that rely on synaptic modification for their formation. These neural networks and their modified synaptic connections can account for the cognitive basis of learning and memory and for memory deterioration in neurological disorders. We first discuss Hebb’s (1949) theory that synaptic change and the formation of cell assemblies and phase sequences can link neurophysiology to cognitive processes. We then examine each of Trettenbrein’s (2016) critiques of the synaptic theory in light of Hebb’s theories and recent empirical data. We examine the biochemical basis of memory formation and the necessity of synaptic modification to form the neural networks underlying learning and memory. We then examine the use of Hebb’s theories of synaptic change and cell assemblies for integrating neurophysiological and cognitive conceptions of learning and memory. We conclude with an examination of the applications of the Hebb synapse and cell assembly theories to the study of the neuroscience of learning and memory, the development of computational models of memory and the construction of “intelligent” robots. We conclude that the synaptic theory of memory has not met its demise, but is essential to our understanding of the neural basis of memory, which has two components: synaptic plasticity and intrinsic plasticity. Frontiers Media S.A. 2018-10-26 /pmc/articles/PMC6212519/ /pubmed/30416432 http://dx.doi.org/10.3389/fnsys.2018.00052 Text en Copyright © 2018 Langille and Brown. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Langille, Jesse J.
Brown, Richard E.
The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition
title The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition
title_full The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition
title_fullStr The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition
title_full_unstemmed The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition
title_short The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition
title_sort synaptic theory of memory: a historical survey and reconciliation of recent opposition
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212519/
https://www.ncbi.nlm.nih.gov/pubmed/30416432
http://dx.doi.org/10.3389/fnsys.2018.00052
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